Aerogility version 2.2 now available for customers
The Aerogility development team delivers two new releases of Aerogility a year using agile development techniques. The latest release focuses on two areas; the first delivery of multi-dimensional optimisation and configurable business logic to create agent behaviour.
The optimisation function uses an exhaustive search technique, which is particularly suited to exploring a constrained problem space. An Aerogility user can choose to minimise or maximise Key Performance Indicators, or target a specified value. The optimisation function will automatically adjust a range of options in a what-if? scenario to achieve a balanced and optimal business decision. The development of the optimisation function was led by Steve Osborn, Aerogility Architect, and Dr Viet Dung Dang, Lead Developer.
“Our starting point was a key question – how does a customer organise their aftermarket services to maximise contract revenue, minimise MRO costs and achieve target fleet availability?” said Steve Osborn.
Exhaustive search optimisation automates the configuration of simulations to explore a specific goal set by the business user. This function will be upgraded in future releases of Aerogility, extending optimisation to include hill-climbing and genetic algorithm techniques.
The implementation of configurable business logic is an important development for customers. We have extended the concept of operating parameters driving agent behaviour in a simulation. A business user can configure decision logic and process actions using parameters, data tables and English-like business rules, without requiring specialist support from modelling experts or software developers.
“Aerogility is designed to deliver powerful business simulation capability directly to the decision-makers,” said Gary Vickers, Executive Director. “This functionality is another important step in enabling the business to have even more control of their Aftermarket model and simulations.”